Overlaid Text Recognition for Matching Soccer-Concept Keywords

Abstract

Overlaid-text appears frequently in broadcast sports video. They provide a plethora of information regarding the goings-on of a particular game. Examples include important events and video segments of interest such as bookings and half-time analysis, respectively. Furthermore, it is common that overlaidtext is displayed when a particular concept is happening or has happened. This paper presents a concept identification framework, based on matched keywords from overlaid-text extraction and recognition. Possible occurrences of overlaid-text in soccer programs are extracted and recognized, and then matched against a soccer-term database. Preliminary experiments show reliable character extraction, whose recognition has been successfully matched with keywords within the database.